The Poseidon Project provides access to a (nominally) 1km resolution global ocean circulation solution. Several other global and regional datasets are available, including:
- The complete global LLC4320 data (MITgcm). LLC4320v2 is coming soon.
- Several regional 1km resolution simulations of the sub-polar North Atlantic and Nordic Seas (MITgcm).
- The complete the global LLC90 ECCOv4r4 data (MITgcm; monthly and daily data).
- A subset of global nominally 1km resolution HYCOM data. We’re working with the HYCOM team to include data from their solutions in the Poseidon Project.
These data are available through the SciServer Oceanography data portal. See a list of available datasets on the OceanSpy/Datasets page.
Datasets
A Note on Datasets
SciServer Oceanography
OceanSpy Datasets
A Note on the Datasets:
The Poseidon Project will deliver a variety of ocean circulation model solutions, including a 2km resolution global run. Several solutions are now available through the SciServer Oceanography data portal. See the table below and also this list of available datasets on the OceanSpy/Datasets page.
Poseidon SciServer Datasets
List of Poseidon Project datasets available on SciServer via OceanSpy, plus salient characteristics. If you have problems accessing these data raise an OceanSpy Github issue.| Name | Access | Description | Citation | Model | Resolution: lon x lat # levels output period # dumps | Time span | Data size | Characteristics | See also: |
|---|---|---|---|---|---|---|---|---|---|
| LLC4320 | Access instructions | Global, high-resolution (~2km) | Rocha et al., 2016, JPO | MITgcm | 0.02 x 0.02 90 1 hr 10311 | 2011-09-13 – 2012-11-15 | 4.5 PB | Full hourly data from the LLC4320 simulations computed using the MITgcm, a general, curvilinear ocean simulation on the cube-sphere | LLC4320v2 coming soon! |
| DYAMOND | Access instructions | Global, high-resolution coupled ocean (~4km) atmosphere (~7km) | Menemenlis et al. (2026) | MITgcm+GEOS5 | Ocean: 0.04 x 0.04 90 Atmos.: 0.06 x 0.06 72 3 hr 3400 | 2020-01-20 – 2021-03-20 | 1.9 PB | ||
| ECCO (monthly) | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('ECCO') | Global, low-resolution, state estimate | Forget et al., 2015, GMD | MITgcm | 1 x 1 50 monthly average 312 | 1992-01-16 – 2017-12-16 | 145 GB | ECCO v4r4 3D dataset, ocean simulations on LLC90 grid. Monthly-average output. | ECCO (daily) |
| ECCO (daily) | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('daily_ecco') | Global, low-resolution, state estimate | Forget et al., 2015, GMD | MITgcm | 1 x 1 50 daily average 9496 | 1992-01-16 – 2017-12-16 | 4.4 TB | ECCO v4r4 3D dataset, ocean simulations on LLC90 grid. Daily-average output. | ECCO (monthly) |
| HYCOM | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('HYCOM') | Regional (California coast) cutout of global solution , high-resolution | Test data courtesy Jay Shriver and Brian Arbic | HYCOM | 0.04 x 0.04 101 1 hr 902 | 2019-10-01 – 2019-11-10 | 1.28 TB | High-resolution grid of the (1/25 deg) numerical simulation covering the California Coast using the HyCOM model. The original grid has 41 (isopycnal) layers but these files were interpolated to 101 vertical levels. | More data coming soon! |
| get_started | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('get_started') | Small cutout from EGshelfIIseas2km_ASR_crop | Almansi et al., 2020 - GRL. | MITgcm | 0.02 x 0.02 55 6 hr 4 | 2007-09-01 – 2007-09-01 | 1 GB | Getting started with OceanSpy | |
| EGshelfIIseas2km_ASR_full | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('EGshelfIIseas2km_ASR_full') | Regional, high-resolution (~2km) covering the east Greenland shelf (EGshelf), and the Iceland and Irminger Seas (IIseas) forced by the Arctic System Reanalysis (ASR) | Almansi et al., 2020 - GRL. | MITgcm | 0.02 x 0.02 216 6 hr 1464 | 2007-09-01 – 2008-08-31 | 17.5 TB | Full domain without variables to close budgets. | EGshelfIIseas2km_ASR_crop |
| EGshelfIIseas2km_ASR_crop | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('EGshelfIIseas2km_ASR_crop') | Cropped version of EGshelfIIseas2km_ASR_full | Almansi et al., 2020 - GRL. | MITgcm | 0.02 x 0.02 216 6 hr 1464 | 2007-09-01 – 2008-08-31 | 400 GB | Cropped domain with variables to close budgets. | EGshelfIIseas2km_ASR_full |
| EGshelfIIseas2km_ERAI_6H | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('EGshelfIIseas2km_ERAI_6H') | Regional, high-resolution (~2km) covering the east Greenland shelf (EGshelf), and the Iceland and Irminger Seas (IIseas) forced by the ERA Interim (ERAI) | Almansi et al., 2017, JPO | MITgcm | 0.02 x 0.02 216 6 hr 1464 | 2007-09-01 – 2008-08-31 | 15.0 TB | 6-hour resolution without sea ice and external forcing variables | EGshelfIIseas2km_ERAI_1D |
| EGshelfIIseas2km_ERAI_1D | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('EGshelfIIseas2km_ERAI_1D') | Version of EGshelfIIseas2km_ERAI_6H | Almansi et al., 2017, JPO | MITgcm | 0.02 x 0.02 216 6 hr 1464 | 2007-09-01 – 2008-08-31 | 3.8 TB | 1-day resolution with sea ice and external forcing variables | EGshelfIIseas2km_ERAI_6H |
| IGPwinter | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('IGPwinter') | High-resolution numerical simulation carried out in parallel to the observational component of the Iceland Greenland Seas Project (IGP). | Renfrew et al., 2019, BAMS | MITgcm | 0.015 x 0.04 216 6 hr 360 | 2018-01-01 – 2018-03-31 | 10.1 TB | 6-hour resolution with sea ice and external forcing variables | |
| EGshelfSJsec500m_6H_hydro | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('EGshelfSJsec500m_6H_hydro') | Regional very high-resolution (500m) numerical simulation covering the east Greenland shelf (EGshelf) and the Spill Jet section (SJsec). Hydrostatic solution. | Magaldi & Haine, 2015, DSR1 | MITgcm | 0.005 x 0.005 97 6 hr 368 | 2003-06-01 – 2003-08-31 | 640 GB | 6-hour resolution with external forcing variables. | EGshelfSJsec500m_3H_hydro EGshelfSJsec500m_3H_NONhydro EGshelfSJsec500m_6H_NONhydro |
| EGshelfSJsec500m_3H_hydro | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('EGshelfSJsec500m_3H_hydro') | Version of EGshelfSJsec500m_6H_hydro | Magaldi & Haine, 2015, DSR1 | MITgcm | 0.005 x 0.005 97 3 hr 749 | 2003-06-01 – 2003-08-31 | 1.27 TB | 3-hour resolution with external forcing variables. | EGshelfSJsec500m_6H_hydro EGshelfSJsec500m_3H_NONhydro EGshelfSJsec500m_6H_NONhydro |
| EGshelfSJsec500m_6H_NONhydro | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('EGshelfSJsec500m_6H_NONhydro') | Regional very high-resolution (500m) numerical simulation covering the east Greenland shelf (EGshelf) and the Spill Jet section (SJsec). Non-Hydrostatic solution. | Magaldi & Haine, 2015, DSR1 | MITgcm | 0.005 x 0.005 97 6 hr 368 | 2003-06-01 – 2003-08-31 | 640 GB | 6-hour resolution with external forcing variables. Non-hydrostatic. | EGshelfSJsec500m_6H_hydro EGshelfSJsec500m_3H_hydro EGshelfSJsec500m_6H_NONhydro |
| EGshelfSJsec500m_3H_NONhydro | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('EGshelfSJsec500m_3H_NONhydro') | Version of EGshelfSJsec500m_3H_NONhydro | Magaldi & Haine, 2015, DSR1 | MITgcm | 0.005 x 0.005 97 3 hr 749 | 2003-06-01 – 2003-08-31 | 1.28 TB | 3-hour resolution with external forcing variables. Non-hydrostatic. | EGshelfSJsec500m_6H_hydro EGshelfSJsec500m_3H_hydro EGshelfSJsec500m_6H_NONhydro |
| KangerFjord | import oceanspy as ospy od = ospy.open_oceandataset.from_catalog('KangerFjord) | A realistic numerical model constructed to simulate the oceanic conditions and circulation in a large southeast Greenland fjord (Kangerdlugssuaq) and the adjacent shelf sea region during winter 2007–2008. | Fraser et al., 2018, JGR | MITgcm | 0.03 x 0.03 100 6 hr 728 | 2007-11-29 – 2008-02-28 | 336 GB |